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Model-based Diagnosability and Sensor Placement Application to a Frame 6 Gas Turbine Subsystem

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Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence. Pages 551-555.

Abstract

This paper presents a methodology for: assessing the degree of diagnosability of a system, i.e. given a set of sensors, which faults can be discriminated? and; characterising and determining the minimal additional sensors which guarantee a specified degree of diagnosability. This method has been applied to several subsys tems of a Ge neral Electric Frame 6 gas turbine owned by a major UK utility.

Louise Travé-Massuyès, Teresa Escobet, and Robert Milne. 2001. Model-based Diagnosability and Sensor Placement Application to a Frame 6 Gas Turbine Subsystem. In Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, IJCAI-01. IJCAI, 551–555. https://ijcai.org/proceedings/2001/77
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